In an operating system, scheduling algorithms are one of the key success factors in running jobs or processes that request the processor imbedded in the operating system. Assignment: Determine which s

In an operating system, scheduling algorithms are one of the key success factors in running jobs or processes that request the processor imbedded in the operating system. Assignment: Determine which s
CHRIS NGUYEN Reply UNIT 3 – DISCUSSION BOARD (1) 1 Like Fri 10/1/2021 8:20 PM LikeUnit 3 – Discussion Board Like PostFlagUnit 3 – Discussion Board Flag Post A distributed system is a collection of various components that are scattered among many computers (or other computing devices) connected to a network in a computing environment. These devices divided the work and coordinated their efforts to complete the task more quickly than if it had been allocated to a single device. Distributed systems reduce the risks associated with a single point of failure while enhancing reliability and fault tolerance. Modern distributed systems are often designed to expand in near real-time; moreover, you may spin up new computing resources on the go, boosting performance and reducing time to completion even further. Embedded computing systems are systems that mix hardware and software to perform a single task. People frequently mix up embedded computing systems with the broader computer system of which they are a component, resulting in misunderstanding. Some embedded systems can be programmed, but not all of them. Their systems make use of microcontrollers, microprocessors, digital signal processors, and other specially designed processors. Concurrency, or the ability to handle several processes at the same time, is required by many applications. For example, a telnet or ssh client has two functions: answering to the user and responding to the network. Response to the windowing system, background repagination, background spell and grammar checking, background printing, and script execution are all activities that a contemporary word processor can do. The obstacles that embedded computer environments must overcome to maintain consistent synchronization and communication. They must respond in real time under all conditions and within the time frame set by the designer, and they must function with limited memory, computing capacity, and energy supply. Furthermore, it must be resistant to changes in its working environment – processors, sensors, and hardware components may change over time – as well as mobility and autonomy. In an embedded computer system, there are two example types of concurrent mechanisms: shared memory and message passing communication concurrency. Concurrent components interact in shared memory by altering the contents of a shared memory region. To coordinate across threads, this type of concurrent programming generally involves the usage of some form of locking. Software Transactional Memory (STM) can be used to enable shared memory communication [1, 2, 3]. The major advantages of STM are its modularity and composability. That is, you can use STM to construct concurrent abstractions that can be easily coupled with any other STM abstraction without disclosing the intricacies of how you generated them. In Message passing concurrency, messages can be sent asynchronously (also known as “send and pray”) or using a rendezvous approach in which the sender blocks until the message is received. Message-passing concurrency is significantly easier to reason about than shared-memory concurrency and is generally regarded as a more robust, albeit slower, style of concurrent programming. Olawale Bello Reply UNIT 3 – DISCUSSION BOARD Fri 10/1/2021 11:38 PM LikeUnit 3 – Discussion Board Like PostFlagUnit 3 – Discussion Board Flag Post Embedded Computer is considered to have hardware and software designed or built to perform specific tasks rather than variety. It contains a processor, power supply, memory, and communication porter. These are everyday electronic devices and systems use across various industries and consumers. Distributed computed environment; the distributed system deals with everyday activities and is all around us; for example, google, amazon platform, clouds, Netflix, and more are all spread over the network. These are multiple independent computers that work together to solve problems for end-users. There are multiply reasons for gearing toward distributed computed environment because of reliability, scalability, fault tolerance and increased performance. Cloud Computing is a perfect example of the distributed computed environment. Cloud Computing deals with the services or providers of storage over the internet using the internet protocol. Many eCommerce and industries are switching their data storage to service providers with big servers farm. To provide service has needed and the point of needs. There is always a drawback to anything on the internet, prone to hackers and thieves trying to steal valuable information. Understanding what concurrency is and how it can be managed in the distributed computing environment. Concurrency is a process where multiple processes /threads are runs in parallel. Concurrency involves sharing of system resources called shared memory. The shared memory is a connection messages channel where synchronization and communication are satisfied. The evolution of advanced modern technology in using multi-cores, multi-processors, and parallel processing allows multiple threads to be executed simultaneously. Concurrency is an essential property of the distributed system. The concurrency mechanism is to ensure continuity of process that runs concurrently to increase efficiency and performance. The few mechanisms are multiprocessing, multitasking, and multithreading.